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Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability
OBJECTIVE: To conduct a geospatial analysis of suicide deaths among young people in the state of Paraná, southern Brazil, and evaluate their association with socioeconomic and spatial determinants. METHODS: Data were obtained from the Mortality Information System and the Brazilian Institute of Geogr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Psiquiatria
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986484/ https://www.ncbi.nlm.nih.gov/pubmed/31433002 http://dx.doi.org/10.1590/1516-4446-2018-0352 |
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author | Alarcão, Ana C. Dell’ Agnolo, Cátia M. Vissoci, João R. Carvalho, Elias C.A. Staton, Catherine A. de Andrade, Luciano Fontes, Kátia B. Pelloso, Sandra M. Nievola, Júlio C. Carvalho, Maria D. |
author_facet | Alarcão, Ana C. Dell’ Agnolo, Cátia M. Vissoci, João R. Carvalho, Elias C.A. Staton, Catherine A. de Andrade, Luciano Fontes, Kátia B. Pelloso, Sandra M. Nievola, Júlio C. Carvalho, Maria D. |
author_sort | Alarcão, Ana C. |
collection | PubMed |
description | OBJECTIVE: To conduct a geospatial analysis of suicide deaths among young people in the state of Paraná, southern Brazil, and evaluate their association with socioeconomic and spatial determinants. METHODS: Data were obtained from the Mortality Information System and the Brazilian Institute of Geography and Statistics. Data on suicide mortality rates (SMR) were extracted for three age groups (15-19, 20-24, and 25-29 years) from two 5-year periods (1998-2002 and 2008-2012). Geospatial data were analyzed through exploratory spatial data analysis. We applied Bayesian networks algorithms to explore the network structure of the socioeconomic predictors of SMR. RESULTS: We observed spatial dependency in SMR in both periods, revealing geospatial clusters of high SMR. Our results show that socioeconomic deprivation at the municipality level was an important determinant of suicide in the youth population in Paraná, and significantly influenced the formation of high-risk SMR clusters. CONCLUSION: While youth suicide is multifactorial, there are predictable geospatial and sociodemographic factors associated with high SMR among municipalities in Paraná. Suicide among youth aged 15-29 occurs in geographic clusters which are associated with socioeconomic deprivation. Rural settings with poor infrastructure and development also correlate with increased SMR clusters. |
format | Online Article Text |
id | pubmed-6986484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Associação Brasileira de Psiquiatria |
record_format | MEDLINE/PubMed |
spelling | pubmed-69864842020-01-29 Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability Alarcão, Ana C. Dell’ Agnolo, Cátia M. Vissoci, João R. Carvalho, Elias C.A. Staton, Catherine A. de Andrade, Luciano Fontes, Kátia B. Pelloso, Sandra M. Nievola, Júlio C. Carvalho, Maria D. Braz J Psychiatry Original Article OBJECTIVE: To conduct a geospatial analysis of suicide deaths among young people in the state of Paraná, southern Brazil, and evaluate their association with socioeconomic and spatial determinants. METHODS: Data were obtained from the Mortality Information System and the Brazilian Institute of Geography and Statistics. Data on suicide mortality rates (SMR) were extracted for three age groups (15-19, 20-24, and 25-29 years) from two 5-year periods (1998-2002 and 2008-2012). Geospatial data were analyzed through exploratory spatial data analysis. We applied Bayesian networks algorithms to explore the network structure of the socioeconomic predictors of SMR. RESULTS: We observed spatial dependency in SMR in both periods, revealing geospatial clusters of high SMR. Our results show that socioeconomic deprivation at the municipality level was an important determinant of suicide in the youth population in Paraná, and significantly influenced the formation of high-risk SMR clusters. CONCLUSION: While youth suicide is multifactorial, there are predictable geospatial and sociodemographic factors associated with high SMR among municipalities in Paraná. Suicide among youth aged 15-29 occurs in geographic clusters which are associated with socioeconomic deprivation. Rural settings with poor infrastructure and development also correlate with increased SMR clusters. Associação Brasileira de Psiquiatria 2019-08-19 /pmc/articles/PMC6986484/ /pubmed/31433002 http://dx.doi.org/10.1590/1516-4446-2018-0352 Text en http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Alarcão, Ana C. Dell’ Agnolo, Cátia M. Vissoci, João R. Carvalho, Elias C.A. Staton, Catherine A. de Andrade, Luciano Fontes, Kátia B. Pelloso, Sandra M. Nievola, Júlio C. Carvalho, Maria D. Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability |
title | Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability |
title_full | Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability |
title_fullStr | Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability |
title_full_unstemmed | Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability |
title_short | Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability |
title_sort | suicide mortality among youth in southern brazil: a spatiotemporal evaluation of socioeconomic vulnerability |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986484/ https://www.ncbi.nlm.nih.gov/pubmed/31433002 http://dx.doi.org/10.1590/1516-4446-2018-0352 |
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